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Items: 1 to 20 of 27

1.

An omnibus test for the global null hypothesis.

Futschik A, Taus T, Zehetmayer S.

Stat Methods Med Res. 2018 Jan 1:962280218768326. doi: 10.1177/0962280218768326. [Epub ahead of print]

PMID:
29635962
2.

Caregiving and Caregiver Burden in Dementia Home Care: Results from the Prospective Dementia Registry (PRODEM) of the Austrian Alzheimer Society.

Ransmayr G, Hermann P, Sallinger K, Benke T, Seiler S, Dal-Bianco P, Marksteiner J, Defrancesco M, Sanin G, Struhal W, Guger M, Vosko M, Hagenauer K, Lehner R, Futschik A, Schmidt R.

J Alzheimers Dis. 2018;63(1):103-114. doi: 10.3233/JAD-170657.

PMID:
29614643
3.

Approximate maximum likelihood estimation for population genetic inference.

Bertl J, Ewing G, Kosiol C, Futschik A.

Stat Appl Genet Mol Biol. 2017 Nov 27;16(5-6):387-405. doi: 10.1515/sagmb-2017-0016.

PMID:
29095700
4.

Quantifying Selection with Pool-Seq Time Series Data.

Taus T, Futschik A, Schlötterer C.

Mol Biol Evol. 2017 Nov 1;34(11):3023-3034. doi: 10.1093/molbev/msx225.

5.

The long zinc finger domain of PRDM9 forms a highly stable and long-lived complex with its DNA recognition sequence.

Striedner Y, Schwarz T, Welte T, Futschik A, Rant U, Tiemann-Boege I.

Chromosome Res. 2017 Jun;25(2):155-172. doi: 10.1007/s10577-017-9552-1. Epub 2017 Feb 2.

6.

Estimating the Effective Population Size from Temporal Allele Frequency Changes in Experimental Evolution.

Jónás Á, Taus T, Kosiol C, Schlötterer C, Futschik A.

Genetics. 2016 Oct;204(2):723-735. Epub 2016 Aug 19.

7.

Improved Versions of Common Estimators of the Recombination Rate.

Gärtner K, Futschik A.

J Comput Biol. 2016 Sep;23(9):756-68. doi: 10.1089/cmb.2016.0039. Epub 2016 Jul 13.

8.

MtDNA segregation in heteroplasmic tissues is common in vivo and modulated by haplotype differences and developmental stage.

Burgstaller JP, Johnston IG, Jones NS, Albrechtová J, Kolbe T, Vogl C, Futschik A, Mayrhofer C, Klein D, Sabitzer S, Blattner M, Gülly C, Poulton J, Rülicke T, Piálek J, Steinborn R, Brem G.

Cell Rep. 2014 Jun 26;7(6):2031-2041. doi: 10.1016/j.celrep.2014.05.020. Epub 2014 Jun 6.

9.

Multiscale DNA partitioning: statistical evidence for segments.

Futschik A, Hotz T, Munk A, Sieling H.

Bioinformatics. 2014 Aug 15;30(16):2255-62. doi: 10.1093/bioinformatics/btu180. Epub 2014 Apr 21.

PMID:
24753487
10.

Intra-specific regulatory variation in Drosophila pseudoobscura.

Suvorov A, Nolte V, Pandey RV, Franssen SU, Futschik A, Schlötterer C.

PLoS One. 2013 Dec 27;8(12):e83547. doi: 10.1371/journal.pone.0083547. eCollection 2013.

11.

A genome-wide, fine-scale map of natural pigmentation variation in Drosophila melanogaster.

Bastide H, Betancourt A, Nolte V, Tobler R, Stöbe P, Futschik A, Schlötterer C.

PLoS Genet. 2013 Jun;9(6):e1003534. doi: 10.1371/journal.pgen.1003534. Epub 2013 Jun 6.

12.

Allelic imbalance metre (Allim), a new tool for measuring allele-specific gene expression with RNA-seq data.

Pandey RV, Franssen SU, Futschik A, Schlötterer C.

Mol Ecol Resour. 2013 Jul;13(4):740-5. doi: 10.1111/1755-0998.12110. Epub 2013 Apr 25.

13.

A fast estimate for the population recombination rate based on regression.

Lin K, Futschik A, Li H.

Genetics. 2013 Jun;194(2):473-84. doi: 10.1534/genetics.113.150201. Epub 2013 Apr 15.

14.

Pool-hmm: a Python program for estimating the allele frequency spectrum and detecting selective sweeps from next generation sequencing of pooled samples.

Boitard S, Kofler R, Françoise P, Robelin D, Schlötterer C, Futschik A.

Mol Ecol Resour. 2013 Mar;13(2):337-40. doi: 10.1111/1755-0998.12063. Epub 2013 Jan 11.

15.

DNA pooling and statistical tests for the detection of single nucleotide polymorphisms.

Ramsey DM, Futschik A.

Stat Appl Genet Mol Biol. 2012 Sep 25;11(5):Article 1. doi: 10.1515/1544-6115.1763.

PMID:
23023700
16.

A novel approach for choosing summary statistics in approximate Bayesian computation.

Aeschbacher S, Beaumont MA, Futschik A.

Genetics. 2012 Nov;192(3):1027-47. doi: 10.1534/genetics.112.143164. Epub 2012 Sep 7.

17.

Detecting selective sweeps from pooled next-generation sequencing samples.

Boitard S, Schlötterer C, Nolte V, Pandey RV, Futschik A.

Mol Biol Evol. 2012 Sep;29(9):2177-86. doi: 10.1093/molbev/mss090. Epub 2012 Mar 12.

18.

PoPoolation: a toolbox for population genetic analysis of next generation sequencing data from pooled individuals.

Kofler R, Orozco-terWengel P, De Maio N, Pandey RV, Nolte V, Futschik A, Kosiol C, Schlötterer C.

PLoS One. 2011 Jan 6;6(1):e15925. doi: 10.1371/journal.pone.0015925.

19.

Distinguishing positive selection from neutral evolution: boosting the performance of summary statistics.

Lin K, Li H, Schlötterer C, Futschik A.

Genetics. 2011 Jan;187(1):229-44. doi: 10.1534/genetics.110.122614. Epub 2010 Nov 1.

20.

The next generation of molecular markers from massively parallel sequencing of pooled DNA samples.

Futschik A, Schlötterer C.

Genetics. 2010 Sep;186(1):207-18. doi: 10.1534/genetics.110.114397. Epub 2010 May 10.

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